This study reviews 211 key papers published between 1968 and 2018, for a better
understanding of how the methods of tourism demand forecasting have evolved over time …

The key component in forecasting demand and consumption of resources in a supply
network is an accurate prediction of real-valued time series. Indeed, both service …

This paper is to produce different scenarios in forecasts for international tourism demand, in
light of the COVID-19 pandemic. By implementing two distinct methodologies (the Long …

This paper investigates the expected results of the current COVID-19 outbreak to arrivals of
Chinese tourists to the USA and Australia. The growing market share of Chinese tourism …

Creating an intelligent system that can accurately predict stock price in a robust way has
always been a subject of great interest for many investors and financial analysts. Predicting …

Cancellations are a key aspect of hotel revenue management because of their impact on
room reservation systems. In fact, very little is known about the reasons that lead customers …

Including employees and stakeholders in the budgeting process enhances decision-making,
encourages trust, and increases the probability of goal attainment. The present study …

This paper aims to compare the performance of three different artificial neural network
techniques for tourist demand forecasting: a multi‐layer perceptron, a radial basis function …

Vietnam has experienced a tourism expansion over the last decade, proving itself as one of
the top tourist destinations in Southeast Asia. The country received more than 18 million …

The COVID-19 pandemic has hindered international travel considerably, greatly affecting
the hotel industry. Hong Kong, as a well-known international tourist destination, has also …